5. Explore Advanced Features

VoxelSpace offers powerful capabilities beyond basic visualization:

Spatial Calculations

Run serverless spatial lambdas to:

1. Compute volumes across datasets
2. Filter data based on specific criteria
3. Derive metrics across trillions of voxels

 Temporal Tracking

Add time as a dimension to your datasets to observe changes over time, including:

• Erosion monitoring
• Construction progress tracking
• Fluid movement analysis

 Multi-Source Data Fusion

Seamlessly integrate multiple data types into a single voxel grid:

• LiDAR point clouds
• Drill hole data
• Seismic datasets
• IoT sensor data
• CAD files

 This unified approach enables comprehensive analysis across diverse data types.

Collaboration and Integration

• Project sharing: Collaborate with team members
• Unity export: Export projects for game engines
• API integration: Integrate the platform into existing workflows

 Conclusion & Next Steps

This quickstart guide has walked you through the core VoxelSpace workflow:

• Project creation and initial setup
• Data upload for various formats
• Processing raw data into indexed datasets
• Visualization in the interactive 3D viewer

Volumetric modeling with voxels captures the full volume of space, enabling insights that traditional surfacemodels cannot provide.

Recommended Next Steps

• Explore additional processing types for your specific data
• Experiment with spatial lambdas for advanced analysis
• Consider upgrading your plan to access:
  • Increased storage capacity
  • Additional compute hours
  • Concurrent job processing

 For more advanced tutorials and documentation, visit the VoxelSpace knowledge base or contact support throughthe platform.